... Gartner client? AI agents present new challenges due to nondeterministic and autonomous behavior requiring an update to the traditional SDLC. Software engineering leaders can overcome the challenges by establishing an opinionated ADLC to streamline the processes and practices in building and delivering AI agents ...
Analyst(s): Manjunath Bhat | Gary Olliffe | Tigran Egiazarov | Adrian Leow
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... high-quality developer experience is key to delivering AI-driven productivity gains and ROI in the software development life cycle (SDLC). Software engineering leaders should focus on three key developer experience improvements necessary for AI-native teams to succeed. Insights at a Glance Impact Actions ...
... Access Insights Already a Gartner client? AI coding agents are evolving faster than many organizations’ ability to adopt them. Software engineering teams will miss out on tool innovations if they do not enable teams to regularly experiment with these tools and share their learnings across the organization ...
Analyst(s): Aliyah Camacho | Fatima Ahmed | Annie Hodgkins
... integrating AI agents with these sources leads to reduced visibility and control over usage, increasing security and operational risks. Software engineering leaders must adopt an MCP registry for trusted discovery. Overview Introduction Description Benefits and Uses Risks Alternatives Recommendations ...
Analyst(s): Shrey Pasricha | Andrew Humphreys | Keith Guttridge
... without deliberate governance, MCP usage creates uncontrolled access paths and opaque audit trails, and it compounds risk at machine speed. Software engineering leaders should extend API management practices and principles to MCP to establish resilient governance. Insights at a Glance Impact Actions How to ...
... Access Insights Already a Gartner client? AIBOMs are the core system of record for AI supply chain data. Software engineering leaders can use AIBOMs to improve trust and transparency in AI supply chains by gaining visibility into technology components such as AI models, datasets, infrastructure and related ...
Analyst(s): Manjunath Bhat | Angela Zhao | Aaron Lord
... Already a Gartner client? Static documentation fails to represent complex software behavior, leading to costly business-IT misalignment. Software engineering teams should use AI prototyping to validate requirements by seeing the software in action rather than relying on potentially ambiguous and erroneous ...
... Access Insights Already a Gartner client? AI coding agents require curated context to operate effectively. Software engineering leaders should guide teams to define a context layer, operationalize it into reusable skills and plug-ins, and make it available through a governed internal marketplace. Insights ...
... g., Claude Code and Codex) to build applications. This shift raises security, compliance, and governance risks. This note explains how software engineering leaders can enable and govern vibe coding effectively. Insights at a Glance Strategic Planning Assumptions Issue Impact More Detail Gartner Recommended ...